Implementation of GWR and MGWR in Modelling Gross Regional Domestic Product (GRDP) in East Java

Authors

  • Arip Ramadan Information System Study Program, School of Industrial and System Engineering, Telkom University Surabaya Campus. Surabaya, 60231, Indonesia Author https://orcid.org/0009-0000-6762-7498
  • Mutiara Afifah Data Science Technology Study Program, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga. Surabaya, 60115, Indonesia Author
  • Dwi Rantini Data Science Technology Study Program, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga. Surabaya, 60115, Indonesia Author https://orcid.org/0000-0002-5408-3038
  • Indah Fahmiyah Data Science Technology Study Program, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga. Surabaya, 60115, Indonesia Author https://orcid.org/0000-0003-0657-3646
  • Ratih Ardiati Ningrum Data Science Technology Study Program, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga. Surabaya, 60115, Indonesia Author https://orcid.org/0000-0002-2659-9328
  • Mohammad Ghani Data Science Technology Study Program, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga. Surabaya, 60115, Indonesia Author https://orcid.org/0000-0003-3085-8668
  • Septia Devi Prihastuti Yasmirullah Data Science Technology Study Program, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga. Surabaya, 60115, Indonesia Author https://orcid.org/0000-0001-8196-7157
  • Najma Attaqiya Alya Data Science Technology Study Program, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga. Surabaya, 60115, Indonesia Author https://orcid.org/0009-0002-6262-6212
  • Muhammad Mahdy Yandra Data Science Technology Study Program, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga. Surabaya, 60115, Indonesia Author https://orcid.org/0009-0007-1843-1465
  • Vidyana Yulianingrum Data Science Technology Study Program, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga. Surabaya, 60115, Indonesia Author
  • Fazidah Othman Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya. Malaysia Author https://orcid.org/0000-0002-9569-2382

DOI:

https://doi.org/10.56294/dm20251065

Keywords:

Spatial Analysis, Geographically Weighted Regression, East Java, GRDP Growth Rate, Mixed Geographically Weighted Regression, Economic Growth

Abstract

Introduction: One important indicator of national development success is the increase in real Gross Regional Domestic Product (GRDP), which reflects regional economic performance. The GRDP growth rate, calculated as the percentage increase from the previous year, serves as a critical measure for evaluating economic progress. In the case of East Java, identifying the factors influencing GRDP growth is essential to support more effective and region-specific policy-making. This research aims to analyze those influencing factors using spatial regression methods.
Methods: In this research, Geographically Weighted Regression and Mixed Geographically Weighted Regression methods are used to model the factors that influence the growth rate of GRDP in East Java.
Results: Based on the results of the research that has been analyzed, it is known that the GWR model has an AICc score of 136,646, while the MGWR model has an AICc score of 134,3184, so it can be concluded that the MGWR method with a fixed gaussian kernel has better performance in modeling the factors that influence the GRDP growth rate in East Java.
Conclusions: Globally, the General Allocation Fund and the Open Unemployment Rate significantly affect GRDP growth. Locally, the Percentage of Poor Population, Average Minimum Wage, Local Original Income, and Production Agglomeration show significant effects in specific areas. On the other hand, the Human Development Index and Population Density do not exhibit significant influence on GRDP growth, either globally or locally.

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Published

2025-06-10

Issue

Vol. 4 (2025): Data and Metadata

Section

Original

License

Copyright (c) 2025 Arip Ramadan , Mutiara Afifah, Dwi Rantini, Indah Fahmiyah, Ratih Ardiati Ningrum, Mohammad Ghani, Septia Devi Prihastuti Yasmirullah, Najma Attaqiya Alya, Muhammad Mahdy Yandra, Vidyana Yulianingrum, Fazidah Othman (Author)

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The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

How to Cite

1.
Ramadan A, Afifah M, Rantini D, Fahmiyah I, Ningrum RA, Ghani M, et al. Implementation of GWR and MGWR in Modelling Gross Regional Domestic Product (GRDP) in East Java. Data and Metadata [Internet]. 2025 Jun. 10 [cited 2025 Jul. 13];4:1065. Available from: https://dm.ageditor.ar/index.php/dm/article/view/1065